2 citations · 2 across the 5 of their papers we have counts for
5 papers
Diffusion Models as Masked Audio-Video Learners
Elvis Nunez, Yanzi Jin, Mohammad Rastegari +2
Over the past several years, the synchronization between audio and visual signals has been leveraged to learn richer audio-visual representations. Aided by the large availability o…
On the Efficacy of Multi-scale Data Samplers for Vision Applications
Elvis Nunez, Thomas Merth, Anish Prabhu +4
Multi-scale resolution training has seen an increased adoption across multiple vision tasks, including classification and detection. Training with smaller resolutions enables faste…
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time
Elvis Nunez, Maxwell Horton, Anish Prabhu +3
When deploying deep learning models to a device, it is traditionally assumed that available computational resources (compute, memory, and power) remain static. However, real-world…
Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
Andrew Lizarraga, David Lee, Antoni Kubicki +4
We present a geometric framework for aligning white matter fiber tracts. By registering fiber tracts between brains, one expects to see overlap of anatomical structures that often…
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi
We present SrvfNet, a generative deep learning framework for the joint multiple alignment of large collections of functional data comprising square-root velocity functions (SRVF) t…